基于机器学习的人脸识别算法的设计与实现

Design and implementation of face recognition algorithm based onmachine learningABSTRACTFace recognition technology is a new type of biometric authentication technology.Facerecognition technology is also a very active research area,covering many fields,such as digitalimage processing.As the demand for application programs grows,facial recognition technologytends to be used in large quantities,using microchips and standardization.Face detection is aprerequisite for rapid and accurate face recognition.Its purpose is to detect the face in thebackground of the image and compare it with the face in the data to achieve face recognition.This article uses python as the development technology.The front end detects the camera'sface in real time.Face recognition mainly uses mtcnn for face extraction,and facenet for facefeature extraction,and uses cosine similarity classification for face recognition.The systeminterface is simple,quick to identify,and easy to use.This article first introduces the current status and development background of the facerecognition system,then discusses the system design goals,system requirements and overall designplan,and discusses the detailed design and implementation of the face recognition system in detail.The system finally performs facial recognition.And conduct specific tests on the system.Key words:Face recognition;Python;Machine learning第2页